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Archive > Volume 31 Issue 9 > 2024,31(9):878-887. DOI:10.3872/j.issn.1007-385X.2024.09.006 Prev Next
Clinical Research
Expression of ILC2s, MDSCs and associated cytokines IL-13, iNOS in cervical cancer and construction and evaluation of a nomogram model
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Abstract:
Objective: To investigate the expression of group 2 innate lymphoid cells (ILC2s) and myeloid-derived suppressor cells (MDSCs), along with their associated cytokines IL-13 and inducible nitric oxide synthase (iNOS), in cervical cancer (CC), and to construct a nomogram prediction model for assessing the risk of CC based on these factors. Methods: Samples were collected from May 2022 to January 2024 at the First Affiliated Hospital of Xinjiang Medical University, including 40 cases of CC tissue and 100 cases of peripheral blood as the CC group. Concurrently, cervical tissues from 30 cases of uterine fibroids screened negative for CC and peripheral blood from 100 healthy individuals were selected as the control group. Multiple immunofluorescence technology (mIF) and immunohistochemical staining (IHC) were utilized to detect the infiltration of ILC2s and MDSCs in tissue samples from both groups, along with the expression levels of related cytokines IL-13 and iNOS. Flow cytometry (FCM) and ELISA were employed to assess the differences in ILC2s, MDSCs, IL-13, and iNOS expression in peripheral blood samples. Pearson correlation was used to assess their correlations. Univariate and multivariate logistic analyses were performed to determine whether ILC2s, MDSCs, IL-13, and iNOS are independent risk factors for CC. An immune prediction model was established using R software, and the model was evaluated using the area under the ROC curve (AUC value), Hosmer-Lemeshow test, calibration curve, clinical decision curve, and clinical impact curve.Results: The levels of ILC2, MDSC, IL-13 and iNOS were all significantly higher in the CC group compared to the control group (all P < 0.05). Furthermore, they were positively correlated (all P < 0.05). Univariate and multivariate logistic regression analyses indicated that ILC2, MDSC, IL-13, and iNOS are independent risk factors for the development of CC (all P < 0.05). Subsequently, a nomogram based on these risk factors was developed and verified to have practical clinical value. Conclusion: ILC2, MDSC, and their associated cytokines IL-13 and iNOS are highly expressed in CC tissues and peripheral blood. The prediction model incorporating these risk factors has predictive capabilities and clinical utility, providing a valuable and accessible tool for early diagnosis and treatment of cervical cancer.
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